Senior Research Engineer

COMPANY AND POSITION SUMMARY

COMPANY: Polaris Wireless

POSITION(S): Senior Research Engineer

ABOUT POLARIS WIRELESS

Founded in 2001, Polaris Wireless Inc. is the leading provider of US FCC compliant, high accuracy, software-based wireless location solutions to operators, law enforcement agencies and location-based application companies. The Polaris Wireless patented Wireless Location Signatures (Polaris WLS™) technology is a cost-effective solution to the location determination problem, since no changes in the wireless device or in the network operator’s base stations are required.

Polaris Wireless markets two main platforms: OmniLocate and Aigis that enable a wide variety of public safety and national security applications. The Company has commercially deployed its location products across numerous wireless networks in the US for E911 Phase II location services and in APAC for 999, and across 22 wireless networks in EMEA and APAC for security applications. Polaris’s technology works seamlessly across “all” mobile devices, all air interfaces (2G, 3G, 4G, and 5G) and across all environments, including challenging dense urban and indoor locations. Polaris Wireless recently solved the vertical location estimation challenge and successfully demonstrated it to the FCC.

Polaris Wireless is seeking a smart, talented, creative, and motivated individual of highest personal integrity to join their team. Polaris Wireless offers competitive compensation and an attractive benefits package.

ABOUT THE POSITION

Senior Research Engineer

As a senior research engineer you will spearhead projects related to Polaris’s core geo-location and analytics business. These projects generally involve a combination of data analysis, algorithmic development, and prototyping. In addition, once a project’s prototyping phase is complete you will work hand in hand with the engineering team to support the productization of your work. As such, a detailed oriented person with a background in data analysis, estimation theory, RF principles, machine learning concepts, and strong programming skills is well suited for the job. In addition, the ability to work within a team is a must.

Responsibilities:

• Lead research projects, managing timelines, resources, and deliverables to ensure successful completion.
• Lead the design and prototyping of sophisticated estimation algorithms for complex applications, ensuring high accuracy and efficiency.
• Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to design and integrate algorithms into products and systems.
• Analyze large and complex datasets, deriving insights and validating estimation methods against real-world data.
• Design and conduct experiments to evaluate the performance of algorithms, using rigorous statistical methods to benchmark effectiveness.
• Prepare detailed documentation of methodologies, findings, and recommendations. Present results to both technical and non-technical stakeholders.
• Oversee the deployment of algorithms in production environments, ensuring robust performance.
• Participate in industry conferences, workshops, and seminars, contributing to the broader scientific community and representing the organization.
• Contribute to the strategic direction of the organization’s research and development efforts aligning projects with business objectives.

Qualifications

Education:

• The candidate must have a Master’s/Doctorate degree in Electrical Engineering, Statistics, Data Science, Machine Learning, Mathematics, Computer Science or other related quantitative field.

Technical Skills:

• The candidate should have a strong background in data analysis and estimation theory. This includes knowledge of techniques such as least squares, maximum likelihood, Kalman filtering and Bayesian estimation.
• Solid foundation in probability theory and optimization techniques.
• Knowledge of radio frequency (RF) signals, measurements, and propagation principles
• The candidate should have strong programming skills and ideally will have worked with tools such as Matlab, or Python
• Plus: Background in machine learning techniques

Experience:

• Several years of experience in developing algorithms for use in practical systems, such as signal processing, control systems, or pattern matching.
• Experience leading projects from the formation of the problem statement, engineering a solution, developing suitable testing protocols, and working with development teams for implementation.
• Plus: Experience working in the telecom space and familiarity with standards such as those defined in 3GPP
• Plus: Experience dealing with location estimation problems, such as trilateration and inertial navigation.

Other:

• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Strong project management skills
• Ability to manage multiple projects and deliver results in a fast-paced environment.

Polaris Wireless provides competitive compensation, generous benefits, and a professional atmosphere. This is a very collaborative and inclusive work environment where individuals strong on aptitude and attitude will have an opportunity to grow their professional careers through working with some of the most advanced technology and talented professionals in the business.